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Conference papers
Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading
Abstract : We put forward a principled variational approach for up-sampling a single depth map to the resolution of the companion color image provided by an RGB-D sensor. We combine heterogeneous depth and color data in order to jointly solve the ill-posed depth super-resolution and shape-from-shading problems. The low-frequency geometric information necessary to disambiguate shape-from-shading is extracted from the low-resolution depth measurements and, symmetrically, the high-resolution photometric clues in the RGB image provide the high-frequency information required to disambiguate depth super-resolution.
Cited literature [63 references]
https://hal-normandie-univ.archives-ouvertes.fr/hal-02118545
Contributor : Yvain Queau <>
Submitted on : Friday, May 10, 2019 - 4:08:54 PM
Last modification on : Friday, June 21, 2019 - 10:04:12 AM
Contributor : Yvain Queau <>
Submitted on : Friday, May 10, 2019 - 4:08:54 PM
Last modification on : Friday, June 21, 2019 - 10:04:12 AM
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CVPR18.pdf
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